code: def _make_record_batch(num_cols, num_rows):
      columns = [
          pa.array(
              [[b"kk"]] * num_rows,
              type=pa.large_list(pa.large_binary()),
          )
          for _ in range(num_cols)
      ]
      column_names = ["col%d" % c for c in range(num_cols)]
      return pa.record_batch(columns, column_names)
  
file_path: data-validation/tensorflow_data_validation/types_test.py
imports: from absl.testing import absltest
  import apache_beam
  from apache_beam.testing import util
  import pyarrow
  from tensorflow_data_validation import types
label_desc: Use image node_id 1 for calling a global function with example usage: _make_record_batch(num_cols, num_rows) and returns: pa